AI & Analytics

Predictive Analytics

Predictive analytics uses historical data, statistics and machine learning to forecast likely future outcomes — demand, arrival times, risk, churn. It answers "what is likely to happen?", the step beyond descriptive analytics (what happened) and diagnostic analytics (why).

In logistics it drives demand forecasting, ETA prediction and at-risk shipment detection. Its value is turning a live data picture into foresight the team can act on before events occur.

Also known as
Predictive Modelling
Related terms
Prescriptive Analytics Machine Learning (ML) Anomaly Detection
Where this matters at WHIZTEC
Supply Chain Analytics Predictive ETA
Frequently asked
What is the difference between predictive and prescriptive analytics?

Predictive analytics forecasts what will likely happen; prescriptive analytics goes further and recommends what to do about it.

More AI & Analytics terms

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